The European Commission has today proposed an ambitious package of measures to improve the health of EU citizens, while ensuring the long-term resilience and competitiveness of the health sector.

Researchers at the Hopp Children's Cancer Center Heidelberg, the German Cancer Research Center, the Heidelberg Medical Faculty of Heidelberg University, and Heidelberg University Hospital have taken a decisive step toward more precise diagnosis of brain tumors. The latest version of the AI-based Heidelberg CNS Tumor Methylation Classifier can identify more than 180 tumor types —twice as many as the previous version.

CELLnROLL is a spin-off from the Max Planck Institute for Intelligent Systems. The newly founded company develops a high-precision microrobotic-based cell sorting system to help clinicians make fast, affordable, and informed decisions for cancer diagnostics. Now, the project has received €865,000 in funding through the EXIST Transfer of Research program, a funding program initiated by the German Federal Ministry for Economic Affairs and Energy.

A new software enables brain simulations which both imitate the processes in the brain in detail and can solve challenging cognitive tasks. The program was developed by a research team at the Cluster of Excellence ‘Machine Learning: New Perspectives for Science’ at the University of Tübingen. The software thus forms the basis for a new generation of brain simulations which allow deeper insights into the functioning and performance of the brain.

Endometriosis, menopause, ovarian cancer – still poorly researched and often misdiagnosed. Ângela Gonçalves combines AI, molecular biology, and clinical findings to develop non-invasive tools for early detection, personalized care, and healthier aging. The scientist from the DKFZ-Hector Cancer Institute is the winner of the Falling Walls Foundation's “Breakthrough of the Year 2025” award in the Women's Impact category.

Artificial intelligence: opportunities for healthcare - 06/11/2025

More than just deskwork: opportunities and obstacles for generative AI in healthcare

Generative artificial intelligence (GenAI) has enormous potential in healthcare, ranging from automating time-consuming deskwork to supporting diagnoses. It is not just for the big players; there are also cost-effective ways for smaller companies and institutions to utilize GenAI.

Researchers at the German Cancer Research Center (DKFZ) have achieved outstanding success at this year's world-leading forum for medical image processing and computer-assisted intervention. Two DKFZ departments competed in eight international AI competitions – and won seven of them. The successes cover key areas of oncology – from early detection and diagnosis to therapy support and follow-up care.

Until today, the aggressiveness of prostate cancer has been assessed primarily using the Gleason grading system—an analysis of cancer tissue in a pathology laboratory that is highly subjective. An international research team led by the German Cancer Research Center (DKFZ) has now developed a novel, explainable AI model that aims to make the diagnosis of prostate cancer more transparent and less susceptible to error.

Medical image analysis - 25/09/2025

Powerful AI systems using synthetic training data

AI systems for image analysis are only as good as the data on which they are trained. The Göppingen-based start-up MIRA Vision has developed a novel method for generating synthetic, photorealistic images, enabling the efficient creation of large, high-quality training datasets. An intuitive platform also allows researchers to evaluate microscopy images with ease.

Since their discovery in 2004, the grid cells in the brain, which are important for our orientation, have been regarded as a kind of “GPS in the head.” However, scientists at the DKFZ and Heidelberg University Hospital have now shown that grid cells work much more flexibly than previously assumed. In experiments with mice, the researchers found that the cells adapt their activity to different reference points depending on the situation.

Scientists from the European Molecular Biology Laboratory (EMBL) and the German Cancer Research Center (DKFZ) have developed an AI model that assesses the long-term individual risk for more than 1,000 diseases. The model, which was trained and tested using anonymized medical data from the UK and Denmark, can predict health events over a period of more than a decade.

Enhancing human perception of the imperceptible - 28/08/2025

AI-driven imaging expands possibilities in surgery

Doctors frequently experience a restricted view of the surgical field, particularly during endoscopic procedures. A novel technique developed by Prof. Dr. Lena Maier-Hein's team at the DKFZ in Heidelberg integrates spectral imaging with AI-driven data analysis. This innovation facilitates accurate tissue differentiation and delivers real-time insights into organ function.

The targeted engineering of artificial proteins with unique properties – that is possible with the assistance of a novel method developed by a research team of Heidelberg University. It centers around a new AI model. This allows for forecasting how two proteins have to be fitted together at the molecular level from individual parts – subunits – in order to engineer a functional, adjustable new protein.

How can the transformation to increase sustainability in hospitals succeed? Participants in the SustainMed project presented their answers at the closing event on 27 June 2025 in Stuttgart. The Ministry of the Environment, Climate Protection and the Energy Sector Baden-Württemberg provided approximately 500,000 euros in funding to develop solutions for goals such as reducing volumes of waste in hospitals.

Sepsis is one of the most dangerous medical emergencies. The condition is the result of a misdirected immune response to an infection, which can quickly lead to organ failure and death. Every hour counts – but early detection is difficult. A new study from Heidelberg now presents an innovative approach: artificial intelligence (AI) and hyperspectral imaging of the skin enable immediate and non-invasive sepsis diagnosis directly at the bedside.

Computer scientist Annika Reinke from the German Cancer Research Center (DKFZ) has been awarded the Hector Foundation Prize 2025, endowed with €10,000, for her outstanding work in the field of AI-supported medical image analysis. She received the award for the project Metrics Reloaded, which can significantly improve the quality and reliability of AI-supported image analysis.

Scientists at the German Cancer Research Center (DKFZ) have shown in an international eye-tracking study that dermatologists not only improve their diagnostic accuracy by using explainable artificial intelligence, but also show significantly less fatigue when assessing challenging cases. The researchers were able to demonstrate this by measuring a reduction in cognitive stress indicators.

Tübingen achieves remarkable success and has good chance of maintaining its University of Excellence title – Top research in three areas to be sustained from other sources of support.

A building with 7400 m² of research space for robotics and artificial intelligence is being built on the Max Planck Campus in Büsnau. Researchers from the Max Planck Institute for Intelligent Systems (MPI-IS) and the University of Stuttgart will be working there with partners from science and industry as well as start-ups from 2027.

This year Furtwangen University (HFU) is launching the “HFU Skills4MedTec” project to further enhance its profile as a leading authority in medical technology and to develop targeted scientific training courses for specialists and managers in the industry.

Melanie Börries, Professor of Medical Bioinformatics at the Medical Faculty of the University of Freiburg and Director of the Institute of Medical Bioinformatics and Systems Medicine at the Medical Center – University of Freiburg, is being honoured for her pioneering work in personalised cancer therapy.

Baden-Württemberg AI Alliance - 08/04/2025

Achieving widespread use of AI

Artificial intelligence presents both opportunities and risks. The Baden-Württemberg AI Alliance is dedicated to fostering collaboration among AI stakeholders to ensure that AI solutions deliver tangible benefits to citizens and businesses across the state. The alliance will also place greater emphasis on advancing AI applications within the healthcare sector.

A recent article by Prof. Dr. Martin Haimerl and Prof. Dr. Christoph Reich of Furtwangen University shows that machine learning (ML) in medicine is often evaluated without a comprehensive risk assessment. The authors investigated the extent to which current scientific papers include risk-based metrics in the evaluation of AI models for medical devices.

Using artificial intelligence to revolutionize drug development is the aim of the start-up "EmbryoNet AI Technologies" led by Konstanz biologist Patrick Müller. Müller and his team have now been awarded the start-up prize by the Federal Ministry for Economic Affairs and Climate Action (BMWK) for their business concept.

Using a new combination of three sensors and artificial intelligence, researchers at Heidelberg Medical Faculty of Heidelberg University and Heidelberg University Hospital are recognising patterns in babies' movements that show whether their nervous system is developing healthily.